At a Glance
- Tasks: Lead advanced analytics and build infrastructure for marketing strategies.
- Company: Join a dynamic team at twentysix in New York.
- Benefits: Competitive salary, great benefits, and opportunities for growth.
- Why this job: Make an impact with data science in the automotive industry.
- Qualifications: Strong coding skills in Python and SQL, with 3-5 years of experience.
The predicted salary is between 75000 - 180000 £ per year.
twentysix is seeking a hands-on data scientist to join our Marketing Analytics team in New York. This role includes advanced analytics and infrastructure building for our strategic output with a prominent automotive client.
The ideal candidate will have a strong coding background in Python and SQL, with 3–5 years in data science or analytics.
Salary ranges from $75,000 to $180,000, based on experience and responsibilities, complemented by a competitive benefits package.
Marketing Data Science Lead, Analytics & Infrastructure employer: twentysix
At twentysix, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a Marketing Data Science Lead in New York, you will not only have the opportunity to work with cutting-edge analytics but also benefit from a competitive salary and comprehensive benefits package, alongside ample opportunities for professional growth and development within a supportive team environment.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Data Science Lead, Analytics & Infrastructure
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at twentysix. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This is your chance to demonstrate your hands-on experience and make a lasting impression.
✨Tip Number 3
Prepare for the interview by brushing up on your analytics knowledge. Be ready to discuss how you’ve used data science to drive marketing strategies in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows your genuine interest in joining the team.
We think you need these skills to ace Marketing Data Science Lead, Analytics & Infrastructure
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your coding prowess in Python and SQL right from the get-go. We want to see how your experience aligns with the role, so don’t hold back on showcasing your data science journey!
Tailor Your Application:Don’t just send a generic CV! We love it when candidates tailor their applications to fit the job description. Mention specific projects or experiences that relate to advanced analytics and infrastructure building.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the Marketing Data Science Lead position!
How to prepare for a job interview at twentysix
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, as well as any advanced analytics techniques you've applied. This will show that you're not just familiar with the tools, but that you can use them effectively in real-world scenarios.
✨Understand the Automotive Industry
Since you'll be working with a prominent automotive client, it’s crucial to have a grasp of the industry trends and challenges. Do some research on how data science is being used in marketing within the automotive sector. This knowledge will help you stand out and demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect to face technical questions or even a coding challenge during the interview. Practise common data science problems and be prepared to explain your thought process. This will not only showcase your technical abilities but also your problem-solving skills, which are essential for this role.
✨Showcase Your Teamwork Skills
As a Marketing Data Science Lead, collaboration is key. Be ready to share examples of how you've worked effectively in teams, especially in cross-functional settings. Highlight any leadership experiences or instances where you've mentored others, as this will illustrate your ability to lead and inspire a team.
